Alexander Zlokapa studies physics at Caltech, pursuing research at the intersection of machine learning, quantum computing, and experimental high energy physics. He has worked with groups at Caltech, Stanford, CERN, LIGO, USC, and Berkeley on developing novel quantum machine learning algorithms and applying classical machine learning algorithms to achieve improvements over traditional methods. Alexander has been an invited speaker at an AI seminar in Stanford and a quantum machine learning conference at KAIST, presenting adiabatic quantum computing algorithms. Outside of research, he has been recognized nationally as a National Merit Scholar and US Presidential Scholar candidate, as well as at international competitions in computer science.
ACM Student Research Competition: Graduate Posters
ACM Student Research Competition: Undergraduate Posters